Dataset Information

The predictive value of pyroptosis for the prognosis and immune escape of bladder cancer.

ABSTRACT:

Objective

To evaluate the predictive value of pyroptosis-related genes for the prognosis and immune escape of bladder cancer (BC).

Methods

Transcriptomic and single nucleotide polymorphisms (SNPs) data were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) portal. Least absolute shrinkage and selection operator (LASSO) analysis was carried out to construct a prognostic risk model for BC patients.

Results

Based on the expression of 50 pyroptosis-related genes, BC patients from TCGA database were divided into two clusters, which showed significant differences in overall survival and disease specific survival. Furthermore, we intersected the differentially expressed genes between these two clusters with those identified from the GSE13507 dataset and finally identified eight survival related genes, which was used to construct a prognostic risk model by LASSO Cox regression. According to the model, the high-risk (HR) group was closely associated with poor survival or the advanced pathological stage of BC. In addition, the HR group was mainly enriched in cell cycle and immune-related pathways and had a higher TP53 mutation rate than the low-risk (LR) group. Furthermore, these two risk groups were significantly related to immune cell composition, immune cell infiltration, and immune response. Importantly, a higher expression of PD-1, PD-L1, and CTLA4 as well as higher immune exclusion scores were found in the HR group, suggesting a higher possibility of immune escape.

Conclusion

Our studies revealed the key role of pyroptosis in predicting the prognosis, TP53 mutation, and immune escape of patients with BC.

SUBMITTER: Liu Y

PROVIDER: S-EPMC9730090 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The predictive value of pyroptosis for the prognosis and immune escape of bladder cancer.

Liu Yang Y Pang Zhong-Qi ZQ Han Yan-Song YS Shen Lin-Kun LK Yao Wen-Hao WH Zhang Lu L He Jia-Xin JX Shan Yu-Juan YJ Ren Ming-Hua MH

American journal of translational research 20221115 11

<h4>Objective</h4>To evaluate the predictive value of pyroptosis-related genes for the prognosis and immune escape of bladder cancer (BC).<h4>Methods</h4>Transcriptomic and single nucleotide polymorphisms (SNPs) data were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) portal. Least absolute shrinkage and selection operator (LASSO) analysis was carried out to construct a prognostic risk model for BC patients.<h4>Results</h4>Based on the expression of 50 pyroptosi ...[more]

PMID: 36505302

Similar Datasets

Project description:This study aimed to identify the genetic signatures associated with disease prognosis in bladder cancer. We used 165 primary bladder cancer samples, 23 recurrent non-muscle invasive tumor tissues, 58 normal looking bladder mucosae surrounding cancer and 10 normal bladder mucosae for microarray analysis. Hierarchical clustering was used to stratify the prognosis-related gene classifiers. For validation, real-time reverse-transcriptase polymerase chain reaction (RT-PCR) of top-ranked 14 genes was performed. On unsupervised hierarchical clustering using prognosis related gene-classifier, tumors were divided into 2 groups. The high risk gene signatures had significantly poor prognosis compared to low risk gene signatures (P<0.001 by the log-rank test, respectively). The prognosis-related gene classifiers correlated significantly with recurrence of non-muscle invasive bladder cancer (hazard ratio, 4.09; 95% confidence interval [CI], 1.94 to 8.64; P<0.001), and progression (hazard ratio, 23.68; 95% confidence interval [CI], 4.91 to 114.30; P<0.001), cancer-specific survival (hazard ratio, 29.25; 95% confidence interval [CI], 3.47 to 246.98; P=0.002) and overall survival (hazard ratio, 23.33; 95% confidence interval [CI], 4.97 to 109.50; P<0.001) of muscle invasive bladder cancer (p < 0.001, respectively). No patient with non-muscle invasive bladder cancer experienced cancer progression in low risk gene signature group. Prognosis-related gene classifiers validated by RT- PCR showed identical results. Prognosis related gene-classifiers provided strong predictive value for disease outcome. These gene classifiers could assist in selecting patients who might benefit from more aggressive therapeutic intervention or surveillance. Keywords: Gene expression, Bladder cancer, Prognosis 165 primary bladder cancer samples and 23 recurrent non-muscle invasive tumor tissues from 14 patients were taken in the Chungbuk National University Hospital. Only histologically verified transitional cell carcinoma samples were selected. Simultaneously 58 normal looking bladder mucosae surrounding cancer were obtained during the operation, which were histologically confirmed normal. Also, 10 normal bladder mucosae were obtained from patients with benign disease. The normal controls were determined to be free of cancer after revealing no malignant cells on urine cytology and no observable bladder cancer on cystoscopic examination during operation for their diseases, and were histologically reconfirmed normal.

Project description:Background and aimUrothelial bladder cancer (UBC) is a common malignant tumor of the urogenital system with a high rate of recurrence. Due to the sophisticated and largely unexplored mechanisms of tumorigenesis of UBC, the classical therapeutic approaches including transurethral resection and radical cystectomy combined with chemotherapy have remained unchanged for decades. However, with increasingly in-depth understanding of the microenvironment and the composition of tumor-infiltrating lymphocytes of UBC, novel immunotherapeutic strategies have been developed. Bacillus Calmette-Guerin (BCG) therapy, immune checkpoint blockades, adoptive T cell immunotherapy, dendritic cell (DC) vaccines, etc., have all been intensively investigated as immunotherapies for UBC. This review will discuss the recent progress in immune escape mechanisms and immunotherapy of UBC.MethodsBased on a comprehensive search of the PubMed and ClinicalTrials.gov database, this review included the literature reporting the immune escape mechanisms of UBC and clinical trials assessing the effect of immunotherapeutic strategies on tumor or immune cells in UBC patients published in English between 1999 and 2020.ResultsImmune surveillance, immune balance, and immune escape are the three major processes that occur during UBC tumorigenesis. First, the role of immunosuppressive cells, immunosuppressive molecules, immunosuppressive signaling molecules, and DCs in tumor microenvironment is introduced elaborately in the immune escape mechanisms of UBC section. In addition, recent progress of immunotherapies including BCG, checkpoint inhibitors, cytokines, adoptive T cell immunotherapy, DCs, and macrophages on UBC patients are summarized in detail. Finally, the need to explore the mechanisms, molecular characteristics and immune landscape during UBC tumorigenesis and development of novel and robust immunotherapies for UBC are also proposed and discussed.ConclusionAt present, BCG and immune checkpoint blockades have been approved by the US Food and Drug Administration for the treatment of UBC patients and have achieved encouraging therapeutic results, expanding the traditional chemotherapy and surgery-based treatment for UBC.Relevance for patientsImmunotherapy has achieved desirable results in the treatment of UBC, which not only improve the overall survival but also reduce the recurrence rate and the occurrence of treatment-related adverse events of UBC patients. In addition, the indicators to predict the effectiveness and novel therapy strategies, such as combination regimen of checkpoint inhibitor with checkpoint inhibitor or chemotherapy, should be further studied.

Project description:Background: The immune microenvironment profoundly affects tumor prognosis and therapy. The present study aimed to reveal potential immune escape mechanisms and construct a novel prognostic signature via systematic bioinformatic analysis of the bladder cancer (BLCA) immune microenvironment. Patients and Methods: The transcriptomic data and clinicopathological information for patients with BLCA were obtained from The Cancer Genome Atlas (TCGA). Consensus clustering analysis based on the CIBERSORT and ESTIMATE algorithms was performed with patients with BLCA, which divided them into two clusters. Subsequently, the differentially expressed genes (DEGs) in the two were subjected to univariate Cox and least absolute shrinkage and selection operator (LASSO) regression analyses to identify prognostic genes, which were used to construct a prognostic model. The predictive performance of the model was verified by receiver operating characteristic (ROC) and Kaplan-Meier (K-M) analyses. In addition, we analyzed the differentially altered immune cells, mutation burden, neoantigen load, and subclonal genome fraction between the two clusters to reveal the immune escape mechanism. Results: Based on the ESTIMATE and clustering analyses, patients with BLCA were classified into two heterogeneous clusters: ImmuneScoreH and ImmuneScoreL. Univariate Cox and LASSO regression analyses identified CD96 (HR = 0.83) and IBSP (HR = 1.09), which were used to construct a prognostic gene signature with significant predictive accuracy. Regarding potential immune escape mechanisms, ImmuneScoreH and ImmuneScoreL were characterized by inactivation of innate immune cell chemotaxis. In ImmuneScoreL, a low tumor antigen load might contribute to immune escape. ImmuneScoreH featured high expression of immune checkpoint molecules. Conclusion: CD96 and IBSP were considered prognostic factors for BLCA. Innate immune inactivation and a low tumor antigen load may be associated with immune escape mechanisms in both clusters. Our research complements the exploration of the immune microenvironment in BLCA.

Dataset Information

The predictive value of pyroptosis for the prognosis and immune escape of bladder cancer.

Objective

Methods

Results

Conclusion

Publications

The predictive value of pyroptosis for the prognosis and immune escape of bladder cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets